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    1. Data och IT
    2. Systemvetenskap och AI
    3. Artificiell intelligens

    Natural Language Processing and Chinese Computing

    12th National CCF Conference, NLPCC 2023, Foshan, China, October 12–15, 2023, Proceedings, Part II

    AvFei Liu,Nan Duan

    Häftad, Engelska, 2023

    Del 14303 i serien Lecture Notes in Computer Science

    1 341 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023.The ____ regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.

    Produktinformation

    • Utgivningsdatum:2023-10-08
    • Mått:155 x 235 x 49 mm
    • Vikt:1 340 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Lecture Notes in Computer Science
    • Antal sidor:871
    • Förlag:Springer International Publishing AG
    • ISBN:9783031446955

    Utforska kategorier

    • Artificiell intelligens inom Data och IT

    Innehållsförteckning

    • A Benchmark for Understanding Dialogue Safety in Mental Healt Support.- Fundamentals of NLP.- Span-based Pair-wise Aspect and Opinion Term Joint Extraction with Contrastive Learning.- Annotation Quality Measurement in Multi-Label Annotations.- Prompt-free Few-shot Learning with ELECTRA for Acceptability Judgment.- Dual Hierarchical Contrastive Learning for Multi-level Implicit Discourse Relation Recognition.- Towards Malay Abbreviation Disambiguation: Corpus and Unsupervised Model.- Information Extraction and Knowledge Graph.- Topic Tracking from Classification Perspective: New Chinese Dataset and Novel Temporal Correlation Enhanced Model.- A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction.- Multi-Perspective Feature Fusion for Event-Event Relation Extraction.- Joint Cross-Domain and Cross-Lingual Adaptation for Chinese Opinion Element Extraction.- A Relational Classification Network Integrating Multi-Scale Semantic Features.- A Novel Semantic-Enhanced Time-Aware Model for Temporal Knowledge Graph Completion.- Dual-Prompting Interaction with Entity Representation Enhancement for Event Argument Extraction.- Collective Entity Linking With Joint Subgraphs.- Coarse-to-Fine Entity Representations for Document-level Relation Extraction.- Research on Named Entity Recognition Based on Bidirectional Pointer Network and Label Knowledge Enhancement.- UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction.- SSUIE 1.0: A Dataset for Chinese Space Science and Utilization Information Extraction.- Extract then Adjust: A Two-Stage Approach for Automatic Term Extraction.- UniER: A Unified and Efficient Entity-Relation Extraction Method with Single-Table Modeling.- Multi-Task Biomedical Overlapping and Nested Information Extraction Model Based on Unified Framework.- NTAM: A New Transition-based Attention Model for Nested Named Entity Recognition.- Learning Well-separated and Representative Prototypes for Few-shot Event Detection.- Machine Learning for NLP.- A Frustratingly Easy Improvement for Position Embeddings via Random Padding.- IDOS: A Unified Debiasing Method via Word Shuffling.- FedEAE: Federated Learning Based Privacy-preserving Event Argument Extraction.- Event Contrastive Representation Learning Enhanced with Image Situational Information.- Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and Responses.- Neural News Recommendation with Interactive News Encoding and Mixed User Encoding.- Machine Translation and Multilinguality.- CD-BLI: Confidence-Based Dual Refinement for Unsupervised Bilingual Lexicon Induction.- A Novel POS-guided Data Augmentation Method for Sign Language Gloss Translation.- Faster and More Robust Low-Resource Nearest Neighbor Machine Translation.- Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation.- Multimodality and Explainability.- Two-stage Adaptation for Cross-corpus Multimodal Emotion Recognition.- Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base.- A Text-Image Pair Is not Enough:Language-Vision Relation Inference with Auxiliary Modality Translation.- Enriching Semantic Features for Medical Report Generation.- Entity-related Unsupervised Pretraining with Visual Prompts for Multimodal Aspect-based Sentiment Analysis.- ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles.- DialogueSMM: Emotion Recognition in Conversation with Speaker-aware Multimodal Multi-head Attention.- QAE: A Hard-label Textual Attack Considering the Comprehensive Quality of Adversarial Examples.- IMTM: Invisible Multi-Trigger Multimodal Backdoor Attack.- NLP Applications and Text Mining.- Enhancing Similar Case Matching with Event-Context Detection in Legal Intelligence.- Unsupervised Clustering with Contrastive Learning for Rumor Tracking on Social Media.- EP-Transformer: Efficient Context Propagation for Long Document.- Cross and Self Attention based Graph Convolutional Network for Aspect-based Sentiment Analysis.- KESDT: Knowledge Enhanced Shallow and Deep Transformer for Detecting Adverse Drug Reactions.- CCAE: A Corpus of Chinese-based Asian Englishes.- Emotionally-Bridged Cross-Lingual Meta-Learning for Chinese Sexism Detection.- CCPC: A Hierarchical Chinese Corpus for Patronizing and Condescending Language Detection.- FGCS: A Fine-grained Scientific Information Extraction Dataset in Computer Science Domain.- Improving Event Representation for Script Event Prediction via Data Augmentation and Integration.- Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.- DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection.- CCC: Chinese Commercial Contracts Dataset for Documents Layout Understanding.- Question Answering.- OnMKD: An Online Mutual Knowledge Distillation Framework for Passage Retrieval.- Unsupervised Clustering for Negative Sampling to Optimize Open-domain Question Answering Retrieval.- Enhancing In-Context Learning with Answer Feedback for Multi-Span Question Answering.- Large Language Models.- RAC-BERT: Character Radical Enhanced BERT for Ancient Chinese.- Neural Knowledge Bank for Pretrained Transformers.- Summarization and Generation.- A Hybrid Summarization Method for Legal Judgment Documents based on Lawformer.- Enhancing Semantic Consistency in Linguistic Steganography via Denosing Auto-Encoder and Semantic-Constrained Huffman Coding.- Review Generation Combined with Feature and Instance-Based Domain Adaptation for Cross-Domain Aspect-Based Sentiment Analysis.- WikiIns: A High-Quality Dataset for Controlled Text Editing by Natural Language Instruction.- Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning.- Enhancing MOBA Game Commentary Generation With Fine-Grained Prototype Retrieval.